... Point - Ability to prioritize tasks, manage multiple responsibilities and ensure deadlines are met without compromising on quality - Basic data handling and Data interpretation skills - Should be comfortable with 24x7 rotational shifts - Ability to pull data from numerous databases (using Excel and other data management ...
... factual accuracy, or comparing responses — when projects are available. While each project involves unique tasks, contributors may: - Carefully review provided data (text, images, or videos); - Label or classify content based on project guidelines; - Identify and flag factually incorrect, sensitive, inappropriate, or unclear ...
... document methodologies, and support junior geospatial analysts. - Promote best practices in model development and code quality. - Translate business problems into data science solutions and communicate results to stakeholders. Master’s/PhD in Remote Sensing, Geoinformatics, Agriculture Engineering, Earth Sciences, Environmental ...
... factual accuracy, or comparing responses — when projects are available. While each project involves unique tasks, contributors may: - Carefully review provided data (text, images, or videos); - Label or classify content based on project guidelines; - Identify and flag factually incorrect, sensitive, inappropriate, or unclear ...
... factual accuracy, or comparing responses — when projects are available. While each project involves unique tasks, contributors may: - Carefully review provided data (text, images, or videos); - Label or classify content based on project guidelines; - Identify and flag factually incorrect, sensitive, inappropriate, or unclear ...
... transformations, and performance tuning. - Good experience with Python for data processing, automation, and Lambda development. - Strong understanding of data warehousing, data modeling, ETL/ELT, and data lake concepts. - Experience building and supporting production data pipelines. - Experience troubleshooting data and pipeline performance ...
... factual accuracy, or comparing responses — when projects are available. While each project involves unique tasks, contributors may: - Carefully review provided data (text, images, or videos); - Label or classify content based on project guidelines; - Identify and flag factually incorrect, sensitive, inappropriate, or unclear ...
... engineering best practices and scalable architectures. Experience with Apache Spark or PySpark. Knowledge of Docker, Kubernetes, and CI/CD pipelines. Experience with data governance and metadata management. Exposure to machine learning data pipelines is a plus. Bachelor's/Master's degree in Computer Science, IT, Engineering, or ...
... highly accurate data entry and data validation professionals to contribute to a project focused on evaluating and improving AI systems. You’ll create realistic data-entry and validation scenarios involving complex datasets, identify and document errors, define correct outcomes, and develop detailed evaluation criteria. The ...
... operations - Legal operations - Other compliance-sensitive data environments Core Skills - Data Entry - Data Validation - Data Quality Assurance - Error Detection - Data Reconciliation - Accuracy Control - Data Integrity - Format Reconciliation - Dataset Curation - CSV & Spreadsheet Validation - PDF Data Review - Document Validation ...
... high-volume data applications. Who Should Apply This role is suited to data engineers who have practical experience working with large-scale datasets and distributed data systems. You should be comfortable moving between pipeline development, database optimization, data processing, infrastructure reliability, and data governance. ...
... high-volume data applications. Who Should Apply This role is suited to data engineers who have practical experience working with large-scale datasets and distributed data systems. You should be comfortable moving between pipeline development, database optimization, data processing, infrastructure reliability, and data governance. ...
... (Star/Snowflake) to support evolving business requirements in the insurance and SaaS space. Performance Tuning: Proactively identify and resolve bottlenecks in data pipelines, optimizing for both query speed and cloud cost-efficiency. Partner with Data Analysts, Data Scientists, and Actuaries to translate business logic—such ...
... processes for batch and streaming analytics requirements. Optimize and troubleshoot distributed systems for ingestion, storage, and processing. Collaborate with data engineers, analysts, and platform engineers to align solutions with business needs. Ensure data security, integrity, and compliance throughout the infrastructure. ...
Data Engineer III/ IV - IN (Operation/ Supports) Work Location - Remote Work From Home Shift: Rotation Shifts (24/7) Experience: 7-12 years The Data engineer is responsible for managing and operating upon Databricks, Dbt, SSRS, SSIS, AWS DWS, AWS APP Flow, PowerBI/Tableau. The engineer will work closely with the customer ...
... data models in Snowflake for analytics and visualization. Ensure data accuracy, performance optimization, and visualization best practices. Work closely with data engineering to ensure smooth data integration and pipeline readiness. Troubleshoot issues related to data, performance, or visualization logic. Overall 5+ years ...
... manage databases and data warehouses and optimise database performance and storage across multipul platforms, e.g. Snowflake, PostgreSQL RDS & Aurora. Ensure data quality, integrity, and reliability, whilst adhering to data security best practices. Work closely with data analysts, and other stakeholders to understand data ...
... modelers and analysts to deliver analytics-ready datasets Support downstream reporting and dashboarding use cases What we’re looking for Strong experience as a Data Engineer in Azure environments Hands-on with tools such as Azure Data Factory, Azure Databricks, Synapse or similar Solid SQL and data transformation experience ...
... Snowflake- 5 Years Master Data Management- 5 Years Scripting – Python- 5 Years SAP/Salesforce/Engage to Graph DB- 5 Years Minimum IT Experience: 8+ Years The MDM Data Engineer will build and operate the data pipelines, models, and profiling capabilities that power enterprise Master Data Management program. The engineer will ...
... Implement 'Data SLAs.' You will build the monitoring and alerting systems that notify the team of data drift or pipeline failures before the business notices. Data Productization: Work closely with the BI team and Data Scientists to prepare 'feature-ready' datasets. Performance Tuning: Deep-dive into SQL and Spark query ...